Ajay Komirishetty
I’m Ajay Komirishetty, a results-driven Senior Software Engineer with 6+ years of experience in the Canadian technology space, focused on building high-performance, data-driven platforms.
About
I’m Ajay Komirishetty, a results-driven Senior Software Engineer with 6+ years of experience in the Canadian technology space, focused on building high-performance, data-driven platforms. I specialize in the MERN stack (MongoDB, Express, React, Node.js) and combine strong API and real-time development skills (REST and WebSockets) with performance-focused database work (schema design, indexing, and aggregation pipelines) to support scalable applications.
I enjoy turning complex product needs into responsive user experiences—building React dashboards with advanced data visualization and using Redux/Zustand to manage challenging state flows efficiently. I’ve also integrated AI capabilities and improved maintainability through AI-assisted code debugging, peer reviews, and Agile collaboration, including migrations to Kubernetes-based ecosystems to boost reliability and deployment efficiency.
- 8 years' experience
- Joined September 2026
Industry experience
- Software & Internet
- Financial Services
Work experience· 5 roles
Architected and deployed core features for a high-traffic enterprise platform using React, Node.js, Express, and MongoDB. Built responsive React dashboards with advanced data visualization for real-time financial metrics. Implemented and optimized Redux and Zustand state management to reduce unnecessary re-renders. Designed REST APIs and integrated WebSockets for low-latency, real-time data streaming. Optimized MongoDB schema design, indexing, and aggregation pipelines to reduce query times and support projected growth. Improved long-term maintainability through AI-assisted debugging and peer reviews, and contributed to Agile delivery. Orchestrated an enterprise integration using Node.js and SOAP, and led microservices migration to Kubernetes with improved scalability and uptime.
Led end-to-end development of an AI-driven legal assistant for legal professionals using Node.js (backend) and React (frontend), serving 500+ daily active users. Built a unified SSO authentication system across integrated applications, reducing login-related support tickets. Implemented stream-based token transfer for low-latency chat messaging and improved response times. Integrated and fine-tuned multiple LLM providers (GPT-4, Perplexity AI, Gemini) to power AI chat and increase engagement. Automated data pipelines for training custom legal models by scraping sources like CanLII and US caselaw, expanding the knowledge base.
Led redesign of the payment processing module for a SaaS platform using Node.js, improving successful payment transactions and engagement. Integrated Mixpanel for user activity tracking to support product decisions and improve retention. Built a backend auditing system for admin pages with version control and change tracking to enhance security and reduce compliance issues. Developed an OpenAI-powered AI chatbot for payment negotiation, reducing negotiation time. Optimized performance with Sidekiq background processing and added automated testing to improve reliability and reduce response times. Managed AWS infrastructure with monitoring and cost optimization, and partnered with product and cross-functional teams to deliver aligned solutions.
Education
Certifications and awards
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